Sr Software Engineer, Agentic AI Job at T-Mobile (Bellevue)

Sr. Principal Software Engineer - Applied AI

We are looking for a Principal Software Engineer to join our growing Applied AI ...

Location

United States , Seattle

Salary:

277391.00 - 342391.00 USD / Year

Highspot

Expiration Date

Until further notice

Requirements

2+ years of experience in Generative AI and Agentic AI systems, including LLMs, context engineering, and modern vector-based retrieval systems
8+ years working as a professional software developer
A great understanding of Generative AI systems, best practices and experience in shipping Agentic AI into distributed, data-intensive production systems
Experience developing and operating Cloud services at enterprise scale
Strong programming skills in Java, Python, C#, Typescript or equivalent programming languages
Great collaboration with teams with different backgrounds/expertise/functions
Expertise in full product lifecycle
technical designs, fast shipping, iterative implementation, and successful product launches
Experience and passion for mentoring and encouraging collaborative teams
Experience in cultivating a strong engineering culture in an agile environment

Job Responsibility

Apply Generative AI to solve hard unsolved challenges in the application of Agentic AI to real-world business challenges
Work with a team of Applied AI engineers that works at the bleeding edge of Generative AI to solve high-impact business challenges
Grow, coach, build and scale talent on the Applied AI team
Drive operational excellence to achieve enterprise-grade scale, reliability, security, cost-efficiency and performance
Drive technical direction for building a safe, scalable and reliable Agentic AI platform for all of Highspot
Communicate complex concepts and the results of analyses in a clear and effective manner to technical and non-technical audiences
Collaborate with other team members and cross-functionally to share knowledge and discuss initiatives

What we offer

Comprehensive medical, dental, vision, disability, and life benefits
Health Savings Account (HSA) with employer contribution
401(k) Matching with immediate vesting on employer match
Flexible PTO
8 paid holidays and 5 paid days for Annual Holiday Week
Quarterly Recharge Fridays (paid days off for mental health recharge)
18 weeks paid parental leave
Access to Coaches and Therapists through Modern Health
2 volunteer days per year
Commuting benefits

Fulltime

Sr. Staff Software Engineer - Advanced Analytics Platform

At DISQO, we’re redefining how companies turn data into decisions. Our mission i...

Location

United States , Los Angeles, Glendale

Salary:

200000.00 - 240000.00 USD / Year

DISQO

Expiration Date

Until further notice

Requirements

12+ years of professional software engineering experience
5+ years architecting or building high-performance data systems or analytics platforms
3+ years of product Rust experience
Deep expertise in Rust and strong experience in Java
Proven track record building large-scale data analytics or OLAP systems from the ground up
Deep understanding of columnar data engines, vectorized execution, and query/dataframe optimization
Hands-on experience with performance engineering, profiling, and hardware-aware optimization
Strong expertise with AWS - designing, deploying, and optimizing large-scale data and compute systems in the cloud
A systems-thinking mindset
Thrives in a fast-moving, startup environment

Job Responsibility

Architect and deliver a high-performance Advanced Analytics Engine
Design and build an Agentic AI system that leverages this Advanced Analytics Engine
Partner with product, engineering and data teams to power agentic AI analytics systems
Profile, benchmark, and optimize Rust components
Leverage AWS cloud services to architect scalable, reliable, and cost-efficient analytics infrastructure
Shape the evolution of DISQO’s broader data platform and its integration across our product ecosystem
Mentor and guide engineers
Contribute to open-source or internal frameworks that advance analytical systems and distributed computation

What we offer

100% covered Medical/Dental/Vision for employee
Equity
401K
Generous PTO policy
Flexible workplace policy
Team offsites, social events & happy hours
Life Insurance
Health FSA
Commuter FSA (for hybrid employees)
Catered lunch and fully stocked kitchen

Fulltime

Sr. Software Development Engineer

You will safeguard the quality of our AI and GenAI features by evaluating model ...

Location

India , Hyderabad

Salary:

Not provided

Highspot

Expiration Date

Until further notice

Requirements

4+ years of experience as a Software Development Engineer in AI/ML systems
Strong coding skills in Python (evaluation pipelines, data processing, metrics computation)
Hands-on experience with evaluation frameworks (Ragas or equivalent)
Knowledge of vector embeddings, similarity search, and RAG evaluation
Familiarity with evaluation metrics (precision, recall, F1, relevance, hallucination detection)
Understanding of LLM-as-a-judge evaluation approaches
Strong analytical and problem-solving skills
ability to combine human judgment with automated evaluations
Bachelor’s or Master’s degree in Computer Science, Data Science, or related field
Strong English written and verbal communication skills

Job Responsibility

Evaluation Frameworks – Develop reusable, automated evaluation pipelines using frameworks such as Raagas
integrate LLM-as-a-judge methods for scalable assessments
Golden Datasets – Build and maintain high-quality benchmark datasets in collaboration with subject matter experts
AI Output Validation – Evaluate results across text, documents, audio, and video, using both automated metrics and human-in-the-loop judgment
Metric Evaluation – Implement and track metrics such as precision, recall, F1 score, relevance scoring, and hallucination penalties
RAG & Embeddings – Design and evaluate retrieval-augmented generation (RAG) pipelines, vector embedding similarity, and semantic search quality
Error & Bias Analysis – Investigate recurring errors, biases, and inconsistencies in model outputs
propose solutions
Framework & Tooling Development – Build tools that enable large-scale model evaluation across hundreds of AI agents
Cross-Functional Collaboration – Partner with ML engineers, product managers, and QA peers to integrate evaluation frameworks into product pipelines

Fulltime

Sr. Software Engineer - Applied AI

GEICO is seeking an experienced Sr. Software Engineer to join our Unified Commun...

Location

United States , Palo Alto

Salary:

80000.00 - 215000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

5+ years of professional software engineering or applied machine learning experience
1+ years working with Generative AI or LLM-based systems in production
Strong experience with Python and modern AI frameworks such as LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, and OpenAI or Anthropic APIs
Demonstrated experience designing, building, and operating production AI systems, including agentic workflows and intelligent automation features
Proven track record building scalable, resilient, secure, and maintainable systems that run reliably in production
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration
Ability to work deeply with engineers, product managers, and domain experts to co-create solutions
Experience mentoring engineers and helping others grow in AI, LLM, and agent-based system design
History of delivering measurable business outcomes with AI solutions
Strong competency in distributed systems, service design, performance optimization, and reliability engineering

Job Responsibility

Identify AI opportunities: Evaluate and prioritize opportunities to automate business processes using AI, intelligent workflows, and agent-based systems
Design and ship applied AI solutions: Architect, build, and deploy AI solutions for high-value workflows including automation, document intelligence, decision support, and intelligent assistants
Build agentic workflows: Design and implement AI agents and agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic to automate complex processes at scale
Own production systems: Develop services that meet high standards for scalability, resilience, performance, security, and availability
Leverage knowledge graphs: Use knowledge graphs to enhance reasoning, entity relationships, context retrieval, and multi-step workflows
Partner across functions: Collaborate with product, engineering, operations, and analytics partners to co-create scalable AI solutions and translate business needs into robust technical designs
Mentor and upskill others: Coach engineers and scientists in AI, LLMs, and agentic workflow design through pairing, reviews, and architectural guidance
Drive innovation: Explore new models, frameworks, and reasoning techniques and apply them thoughtfully to real-world challenges
Influence architecture: Provide technical guidance on architecture, experimentation, and deployment within and across teams
Experiment and evaluate rigorously: Run end-to-end experimentation, including hypothesis definition, measurement, validation, and iterative improvement in production environments

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Software Engineer

This position will design and build intelligent AI agent systems, LLM-based appl...

Location

United States , Dallas

Salary:

Not provided

JLL

Expiration Date

Until further notice

Requirements

4-6 years’ hands-on experience working as Sr AI/ML Developer with at least three complete agentic AI system implementations
4-6 years’ hands-on experience with cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI)
4-6 years hands-on experience with Python AI/ML frameworks (LangChain, LlamaIndex, Transformers, PyTorch)
4-6 years’ hands-on experience integrating LLMs with external systems and enterprise applications
Experience working with vector databases, knowledge graphs, and RAG pipeline development
Advising on best practices for AI agent development and enterprise AI integration processes
Experience in deploying AI models and agents in multiple environments (dev, staging, production)
Experience managing stakeholder communication regarding AI capabilities, limitations, and project timelines, including managing expectations, foreseeing AI-related risks and reporting them
Proficient in developing, deploying, and orchestrating multi-agent AI systems
Demonstrated proficiency in LLM fine-tuning, prompt engineering, and model optimization

Job Responsibility

Design and build intelligent AI agent systems, LLM-based applications, and autonomous workflow solutions within the context of our enterprise applications
Provide expertise in Large Language Models, multi-agent architectures, RAG systems, Python development, cloud AI services, and enterprise AI integration
Develop and deploy agentic AI solutions that can autonomously perform complex business tasks

What we offer

401(k) plan with matching company contributions
Comprehensive Medical, Dental & Vision Care
Paid parental leave at 100% of salary
Paid Time Off and Company Holidays
Early access to earned wages through Daily Pay

Fulltime

Sr. Engineer, Go To Market AI

Our Mission and Opportunity Early education is one of the most important determi...

Location

United States

Salary:

133000.00 - 189000.00 USD / Year

Brightwheel

Expiration Date

Until further notice

Requirements

2+ years of professional software engineering experience, with clear ownership of medium-to-large production systems from problem statement and design doc through launch and iteration
A proven track record of shipping AI-powered products to production, with concrete examples where LLMs meaningfully improved a metric like conversion, retention, productivity, or revenue
Hands-on experience with large language models (LLMs) in real applications, including prompt and tool design, retrieval-style patterns (such as RAG), and evaluation and monitoring in production
Strong computer science fundamentals (e.g., data structures, algorithms, and systems design) and a generalist mindset, comfortable moving between backend, data, and UX to get the job done
Backend engineering skills in at least one modern web stack (such as Ruby on Rails, Python, Go, or Node), plus confidence with relational databases and larger datasets, from data modeling to performant queries and analytics
Experience building modern web front-ends, ideally with React or a similar component-based framework

Job Responsibility

Work directly with internal customers across Sales, Marketing, Support, and Customer Success to turn ambiguous growth and workflow pain into clear product opportunities, shaping solutions that balance technical feasibility with measurable business impact
Build AI agents and workflows that spot which preschools and childcare centers need help, generate the right message, and guide them from first contact to full, stable use of brightwheel
Ship beautiful and functional user experiences that make our teams better
Create tools for support and success that resolve issues faster and turn every interaction into a chance to help small businesses run better
Instrument what you ship, track metrics like enrollment growth, time saved, and account health, and iterate based on real results
Shape our data and system architecture so AI can stitch together longitudinal signals and recommend what should happen next, not just report what happened
Lead by example in AI-augmented engineering, using AI to multiply your own speed and sharing patterns that raise the bar for the whole team

What we offer

Equity & Ownership
Comprehensive medical, dental, and vision coverage
Generous paid parental leave
Flexible PTO so you can recharge when you need it
Local retirement or savings plans (e.g., 401(k) in the U.S.)

Fulltime

Sr Software Engineer, Gen AI

Instrumentl automates grant discovery and management for nonprofits. We’re a mis...

Location

United States , Oakland

Salary:

175000.00 - 220000.00 USD / Year

Helpcare AI

Expiration Date

Until further notice

Requirements

5+ years of professional software engineering experience
2+ years working with modern LLMs (as an IC)
Startup experience and comfort operating in fast, scrappy environments is a plus
Proven production impact: You’ve taken LLM/RAG systems from prototype to production, owned reliability/observability, and iterated post‑launch based on evals and user feedback
LLM agentic systems: Experience building tool/function‑calling workflows, planning/execution loops, and safe tool integrations (e.g., with LangChain/LangGraph, LlamaIndex, Semantic Kernel, or custom orchestration)
RAG expertise: Strong grasp of document ingestion, chunking/windowing, embeddings, hybrid search (keyword + vector), re‑ranking, and grounded citations. Experience with re‑rankers/cross‑encoders, hybrid retrieval tuning, or search/recommendation systems
Embeddings & vector stores: Hands‑on with embedding model selection/versioning and vector DBs (e.g., pgvector, FAISS, Pinecone, Weaviate, Milvus, Qdrant)
Evaluation mindset: Comfort designing eval suites (RAG/QA, extraction, summarization), using automated and human‑in‑the‑loop methods
familiarity with frameworks like Ragas/DeepEval/OpenAI Evals or equivalent
Infrastructure & languages: Proficiency in Python (FastAPI, Celery) and TypeScript/Node

Job Responsibility

Design agentic systems & ship AI to production: Turn prototypes into resilient, observable services with clear SLAs, rollback/fallback strategies, and cost/latency budgets. Build tool‑using LLM “agents” (task planning, function/tool calling, multi‑step workflows, guardrails) for tasks like grant discovery, application drafting, and research assistance
Own RAG end‑to‑end: Ingest and normalize content, choose chunking/embedding strategies, implement hybrid retrieval, re‑ranking, citations, and grounding. Continuously improve recall/precision while managing index health
Manage embeddings at scale: Select, evaluate, and migrate embedding models
maintain vector stores (e.g., pgvector/FAISS/Pinecone/Weaviate/Milvus/Qdrant)
monitor drift and rebuild strategies
Fine‑tune & build evaluation: Run SFT/LoRA or instruction‑tuning on curated datasets
evaluate the ROI vs. prompt engineering/model selection
manage data versioning and reproducibility. Create offline and online eval harnesses (helpfulness, groundedness, hallucination, toxicity, latency, cost), synthetic test sets, red‑teaming, and human‑in‑the‑loop review
Collaborate cross‑functionally while raising engineering standards: Work side by side with Product, Design, and GTM on scoping, UX, and measurement
run experiments (A/B, canaries), interpret results, and iterate. Write clear, maintainable code, add tests and docs, and contribute to reliability practices (alerts, dashboards, incident response)

What we offer

100% covered health, dental, and vision insurance for employees, 50% for dependents
Generous PTO policy, including parental leave
401(k)
Company laptop + stipend to set up your home workstation
Company retreats for in-person time with your colleagues
Work with awesome nonprofits around the US. We partner with incredible organizations doing meaningful work, and you get to help power their success

Fulltime

Sr. Platform Software Engineer, Prepared

We are looking for an experienced platform engineer to join our platform enginee...

Location

United States , New York

Salary:

141000.00 - 225600.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

5+ years of software engineering industry experience
Proven capacity to operate in a platform engineering or similar role
Experience with large-scale distributed systems
Desire to work in a fast-paced and dynamic startup environment
Strong knowledge of cloud platforms such as AWS, Google Cloud, or Azure
Working knowledge of infrastructure-as-code tools like Terraform, Pulumi, or Crossplane
Experience with containerization and orchestration technologies such as Docker and Kubernetes
Solid understanding of CI/CD pipelines and tools like Github Actions, Drone CI, or Gitlab CI
Proficiency in or eagerness to learn our backend stack (RoR, Go)
Familiarity with monitoring and logging tools and standards such as OpenTelemetry, Datadog, and the LGTM stack

Job Responsibility

Design, build, and maintain scalable, reliable, and secure infrastructure to support Prepared’s platform
Architect, implement, and iterate on core systems like authentication, authorization, feature flags, and asynchronous messaging
Develop and implement best practices for software development, deployment, and monitoring
Automate repetitive tasks to enhance the efficiency and reliability of the engineering team
Help the team implement and define SLOs and report on customer SLAs
Participate in architectural discussions and contribute to the long-term strategy of the platform
Mentor junior engineers and help shape the engineering culture within the team
Travel occasionally to support customer deployments and onsite implementations

What we offer

Competitive salary and 401k with employer match
Discretionary time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Development Programs
Snacks in our offices

Fulltime

Sr Software Engineer, Agentic AI

T-Mobile

Location:
United States , Bellevue ▼
Frisco
Overland Park

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 01, 2026

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